Triple
T4817390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Pamplona |
E107620
|
entity |
| Predicate | hasCommander |
P1197
|
FINISHED |
| Object |
Asparros
Asparros was a military commander known for leading forces in the Battle of Pamplona.
|
E473288
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Asparros | Statement: [Battle of Pamplona, hasCommander, Asparros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asparros Context triple: [Battle of Pamplona, hasCommander, Asparros]
-
A.
Espargos
Espargos is the main urban and administrative center of Sal Island in Cape Verde, known for its proximity to Amílcar Cabral International Airport.
-
B.
Parmys
Parmys was an Achaemenid Persian noblewoman and princess, known as a granddaughter of Cyrus the Great and a queen consort during the reign of Darius I.
-
C.
Acciaroli
Acciaroli is a coastal village in southern Italy’s Cilento region, known for its picturesque harbor, beaches, and unusually high number of long-lived residents.
-
D.
Spinacia
Spinacia is a small genus of flowering plants best known for including spinach, an important leafy vegetable cultivated worldwide for food.
-
E.
Benincasa
Benincasa is an Italian surname historically associated with the family of the medieval mystic and saint Catherine of Siena.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Asparros Triple: [Battle of Pamplona, hasCommander, Asparros]
Generated description
Asparros was a military commander known for leading forces in the Battle of Pamplona.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Asparros Target entity description: Asparros was a military commander known for leading forces in the Battle of Pamplona.
-
A.
Espargos
Espargos is the main urban and administrative center of Sal Island in Cape Verde, known for its proximity to Amílcar Cabral International Airport.
-
B.
Parmys
Parmys was an Achaemenid Persian noblewoman and princess, known as a granddaughter of Cyrus the Great and a queen consort during the reign of Darius I.
-
C.
Acciaroli
Acciaroli is a coastal village in southern Italy’s Cilento region, known for its picturesque harbor, beaches, and unusually high number of long-lived residents.
-
D.
Spinacia
Spinacia is a small genus of flowering plants best known for including spinach, an important leafy vegetable cultivated worldwide for food.
-
E.
Benincasa
Benincasa is an Italian surname historically associated with the family of the medieval mystic and saint Catherine of Siena.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c95b0ec8190a562541b0d7417cb |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4db8cb208190bda1d6df46391dfa |
completed | March 21, 2026, 7:50 a.m. |
| NEDg | Description generation | batch_69be502cf49c8190b117b1e5167a9811 |
completed | March 21, 2026, 8 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be51f7859c81908c6e6d375754749d |
completed | March 21, 2026, 8:08 a.m. |
Created at: March 20, 2026, 1:24 p.m.